wehub-resource-sync
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
# Copyright (c) ModelScope Contributors. All rights reserved.
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from transformers import PreTrainedModel
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from swift.template import TemplateType
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from swift.utils import get_logger
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from ..constant import LLMModelType
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from ..model_meta import Model, ModelGroup, ModelMeta
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from ..register import ModelLoader, register_model
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logger = get_logger()
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class MambaLoader(ModelLoader):
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def get_model(self, model_dir: str, *args, **kwargs) -> PreTrainedModel:
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logger.info(
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'[IMPORTANT] Remember installing causal-conv1d>=1.2.0 and mamba-ssm, or you training and inference will'
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'be really slow!')
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return super().get_model(model_dir, *args, **kwargs)
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register_model(
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ModelMeta(
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LLMModelType.mamba,
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[
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ModelGroup([
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Model('AI-ModelScope/mamba-130m-hf', 'state-spaces/mamba-130m-hf'),
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Model('AI-ModelScope/mamba-370m-hf', 'state-spaces/mamba-370m-hf'),
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Model('AI-ModelScope/mamba-390m-hf', 'state-spaces/mamba-390m-hf'),
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Model('AI-ModelScope/mamba-790m-hf', 'state-spaces/mamba-790m-hf'),
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Model('AI-ModelScope/mamba-1.4b-hf', 'state-spaces/mamba-1.4b-hf'),
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Model('AI-ModelScope/mamba-2.8b-hf', 'state-spaces/mamba-2.8b-hf'),
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])
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],
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MambaLoader,
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template=TemplateType.default,
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architectures=['MambaForCausalLM'],
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model_arch=None,
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requires=['transformers>=4.39.0'],
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))
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